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Connect Remote CSV file and AWS Redshift in our serverless environment

Use this template to Read CSV entries from a remote file using them to insert rows into AWS Redshift table.

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Read CSV entries from a remote file

Used integrations:
class HttpSourceReadRemoteCsv {
async init() {
// TODO: Create your http credential with endpoint information:
// More info at https://yepcode.io/docs/integrations/http/#credential-configuration
// It may manage headers or authentication
this.axiosClient = yepcode.integration.http("your-http-credential-name");
}

async fetch(publish, done) {
// TODO: Customize the path to the csv file
await this.axiosClient
.get("/the-csv-file-path.csv", {
responseType: "stream",
})
.then(({
data
}) => {
data
.pipe(
csv.parse({
trim: true,
columns: true,
delimiter: ",",
skip_empty_lines: true,
})
)
.on("data", async (line) => {
// TODO: Map your item
const item = {
id: line.Index,
name: line.Name
};
await publish(item);
})
.on("end", done);
});
}

async close() {}
}

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Insert rows into AWS Redshift table

Used integrations:
class AwsRedshiftTargetInsert {
async init() {
// TODO: Create your aws-redshift credential
// More info at https://yepcode.io/docs/integrations/aws-redshift/#credential-configuration
this.awsRedshift = yepcode.integration.awsRedshift(
"your-aws-redshift-credential-name"
);
}

async consume(item) {
// TODO: Customize your sql query
const sqlStatement = `INSERT INTO your-table-name VALUES (${item.someProp}, '${item.someStringProp}')`;

// TODO: Customize the command to be executed
// More info at https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/clients/client-redshift-data/interfaces/executestatementcommandinput.html
this.awsRedshift.send(
new ExecuteStatementCommand({
ClusterIdentifier: "your-cluster-identifier",
Database: "your-database",
DbUser: "your-db-user",
Sql: sqlStatement,
})
);
}

async close() {}
}

Other combinations

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These recipes are a good starting point for you to build your own YepCode processes and solve your integration and automation problems.

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